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Collect feature requests on video

Customers explain the feature they need by video, voice or text, in a form in your product. Each request is transcribed, summarized and can be categorized.

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Bilisim Vadisi
Connivo
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Humon
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Saykal
Sigorta Hizli Teklif
Vaga
Bilisim Vadisi
Connivo
Cowealthy
Humon
Mobidictum
Novocycle
Saykal
Sigorta Hizli Teklif
Vaga
Definition

What is video feature request collection?

Video feature request collection lets customers explain what they need and why in a short recording, instead of a one-line ticket. A form on your feedback page or a Video Magnet in your product collects video, voice or text. Each spoken request is transcribed and summarized, and AI Analysis can put it in a category you define.

Feature requests come from everywhere: Slack, email, support tickets. There's no single source of truth.

  • Video Magnet embedded directly inside your product
  • Screen recording shows the actual workflow pain
  • AI keywords and categories on every request
  • Room to close the loop when feature ships
How it works

How it works, step by step

Add a Video Magnet or an embedded form to your app. Users record a video or voice note explaining what they need and why, and on a computer they can show it on screen. AI transcribes and summarizes every request, and AI Analysis can categorize it.

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  1. Embed

    Step 1: Place Video Magnet in your product

    Add a "Request a Feature" Video Magnet widget inside your app. Users see a small, non-intrusive button and can record a video showing what they want and why, with context captured naturally.

    • Choose how the form opens: a side panel (least intrusive), a popup or a full page
    • Pick the bubble's shape, size, side and border colour, and add a greeting, so it looks like part of your app
  2. Collect

    Step 2: Users show what they need

    Users explain on camera or by voice what they need and why, and on a computer they can show their current workflow on screen. "I do this 50 times a day and it takes 5 clicks each time."

    • Video recording captures facial expressions: genuine excitement about a feature idea vs. mild interest is visible
    • On a computer, a form opened from a link or embed can let users record their screen, showing the exact page and workflow
  3. Prioritize

    Step 3: AI categorizes every request

    AI transcribes all requests, extracts keywords, and labels sentiment, so you can see how strongly users feel about each request. Data replaces gut feeling in your product roadmap decisions.

    • Add an AI Analysis category for feature requests and tag answers that ask for "bulk export", then filter by that tag to see every user who asked for it
    • Sentiment labels add weight: a request from a few frustrated users can matter more than one from many neutral users
  4. Close loop

    Step 4: Tell them you built it via Room

    When you ship the feature, send a personal Room video to the users who requested it. They feel heard, valued, and become your strongest advocates.

    • "Hey, you asked for bulk export 3 months ago. We built it! Here, let me show you how it works..." + screen share demo
    • They reply in the Room, often with thanks. Ask the happiest ones to record a testimonial through your testimonial form
Questions

What to ask

These are the real questions of "Share a feature request", a ready-made video template written for this job. Arjun asks each one on video, and the form branches on the answers shown. Try it live, then start from a copy and change anything.

In the template: Share a feature request

  1. 1 · Dropdown

    Which part of the product is this about?

    “Which part of the product is your idea about?”

    Dashboard and reports · Integrations · Mobile app · Notifications · User roles and permissions · Billing · Something else

  2. 2 · Screen, video, voice or text answer

    What problem are you trying to solve?

    “Tell me the problem first. What are you trying to get done today?”

  3. 3 · Multiple choice

    How much would this help you?

    “How much would this change your day to day?”

    It's blocking my work · It would save real time · Nice to have

    • If “It's blocking my work” How are you working around it today?
    • Any other answer Have an example or mockup? Upload it
  4. 4 · Long text

    How are you working around it today?

    “That sounds painful. How are you working around it right now?”

  5. 5 · File upload

    Have an example or mockup? Upload it

    “If you have a sketch or a screenshot, share it here. Optional, of course.”

  6. 6 · Email address

    Your email for updates on this request

    “Leave your email, and I'll let you know when this moves forward.”

See the template page

Hosted by Arjun · Product team

Share a feature request

Answer it the way your respondents will, on your phone or computer. Nothing you record is saved.

AI analysis

What you get back

Every video and voice answer arrives transcribed, with a one-line summary, 3 to 5 keywords and a sentiment label. The template above is new and has no answers yet, so this is a sample response from a different demo form, "Why are you leaving?", as your team sees it.

0:08

Transcript · Which feature were you missing?

“We needed Salesforce sync. Without it, my team copied every lead by hand.”

Hannah Weber · video answer

AI summary
Customer cancelled due to lack of Salesforce synchronization but is open to returning if it is added.
Sentiment
Neutral
Keywords
salesforce, integration, winback-potential
Also answered
What's the main reason you cancelled? Missing a feature I need
Can we reach out if we fix this? Yes, email me
Team comments
Alex Morgan @Daniel can we prioritize the SFDC integration? This is the third churn this week because of it.

Follow-up in Room

  • Alex MorganHi Hannah, we are launching our native Salesforce sync in two months! Can I add you to the early access list when it's ready?
  • HannahYes, definitely. Keep me posted.

Room messages are a conversation, not analysed by AI.

Sample from the "Why are you leaving?" demo form, not from this page's template. The respondent and team are fictional; every new RecRam account starts with these sample answers.

Want every answer checked against your own criteria?

Turn on AI Analysis for the form and each answer is also asked your own question: yes or no, a score, a category from your list, sentiment, keywords or a short text. Rules tag or flag the answers that match and email the people you choose.

How AI Analysis works
Reviews on G2

Rated 4.6 out of 5 on G2

From HR, product and marketing teams who collect their answers on video.

Read all reviews on G2
“RecRam has solved my 'How do I leave a video testimonial?' problem. Rather than giving clients a confusing process, I now share a RecRam link... Easy as 1-2-3!”
Aaron D.Founder and Owner, Small-Business · G2 review

Feature request collection FAQ

A request explained out loud usually includes the reason behind it: the task, the workaround and how often it happens. That context is what a product team needs to build the right thing.

Still have questions? Chat with our team

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4.6 on G2Free for 28 days · No credit card · Cancel anytime